Where to find help and references

The following table lists documentation websites for the Python data analysis libraries we discussed in this chapter.

Packages	Description
NumPy and SciPy	The main documentation website for NumPy and SciPy is at http://docs.scipy.org/doc/. Through this web page, you can browse NumPy and SciPy user guides and reference guides, as well as several tutorials.
Pandas	http://pandas.pydata.org/pandas-docs/stable/.
Matplotlib	http://matplotlib.org/contents.html.
IPython	http://ipython.readthedocs.io/en/stable/.
Jupyter Notebook	http://jupyter-notebook.readthedocs.io/en/latest/.

The popular Stack Overflow software development forum has hundreds of questions tagged NumPy, SciPy, Pandas, Matplotlib, IPython, and Jupyter Notebook. To view them, go to http://stackoverflow.com/questions/tagged/<your-tag-word-here>.

If you are really stuck with a problem, or you want to be kept informed of the development of these libraries, you can subscribe to their respective discussion mailing list(s). The number of e-mails per day varies from list to list. Developers actively involved with the development of these libraries answer some of the questions asked on the mailing lists.

For IRC users, there is an IRC channel on irc://irc.freenode.net. The channel is called #scipy, but you can also ask NumPy questions since SciPy users also have knowledge of NumPy, as SciPy is based on NumPy. There are at least 50 members on the SciPy channel at all times.